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Torch Model Archiver is used for creating archives of trained neural net models that can be consumed by TorchServe inference

Project description

Torch Model Archiver is a tool used for creating archives of trained neural net models that can be consumed for TorchServe inference.

Use the Torch Model Archiver CLI to start create a .mar file.

Torch Model Archiver is part of TorchServe. However, you can install Torch Model Archiver stand alone.

Detailed documentation and examples are provided in the README.

Installation

pip install torch-model-archiver

Source code

You can check the latest source code as follows:

git clone https://github.com/pytorch/serve.git

Citation

If you use torchserve in a publication or project, please cite torchserve: https://github.com/pytorch/serve

Project details


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